Eigenpalms, a well-known approach, extracts features from palmprint images using
conventional PCA technique. However eigenpalms does not exploit neighbourhood (local) …

In this paper, we propose a palmprint recognition method based on eigenspace technology.
By means of the Karhunen–Loeve transform, the original palmprint images are transformed …

In reducing the dimensions of feature space so as to achieve better performance, minimal
features that yet represent the original image maximally need to be extracted. Principal …

In this paper, a spectral feature extraction algorithm is proposed for palm-print recognition,
which can efficiently capture the detail spatial variations in a palm-print image. The entire …

In this paper, a multi-resolution feature extraction algorithm for palm-print recognition is
proposed based on two-dimensional discrete wavelet transform (2D-DWT), which efficiently …

Unimodal analysis of palmprint and palm vein has been investigated for person recognition.
One of the problems with unimodality is that the unimodal biometric is less accurate and …

This work presents a multi-resolution analysis based independent component analysis (ICA)
method for automatic palmprint identification. The ICA is well known by its feature …

This paper presents a novel Daubechies-based kernel Principal Component Analysis (PCA)
method by integrating the Daubechies wavelet representation of palm images and the …

The palmprint recognition methods can be categorized as the feature-based methods and
the appearance-based methods. The conventional appearance-based representation …

Palmprint recognition is a rapidly developing biometrics technology over the last decade.
However, there exist some typical problems when capturing palmprint images. First, the …